A novel fault-tolerant control strategy for near space hypersonic vehicles via least squares support vector machine and backstepping method

Jia Song, Jiaming Lin, Erfu Yang

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

Near Space Hypersonic Vehicle (NSHV) could play significant roles in both military and civilian applications. It may cause huge losses of both personnel and property when a fatal fault occurs. It is therefore paramount to conduct fault-tolerant research for NSHV and avoid some catastrophic events. Toward this end, this paper presents a novel fault-tolerant control strategy by using the LSSVM (Least Squares Support Vector Machine)-based inverse system and Backstepping method. The control system takes advantage of the superiority of the LSSVM in solving the problems with small samples, high dimensions and local minima. The inverse system is built with an improved LSSVM. The adaptive controller is designed via the Backstepping which has the unique capability in dealing with nonlinear control systems. Finally, the experiment results demonstrate that the proposed method performs well.

Conference

ConferenceThe 22nd International Conference on Automation and Computing
Abbreviated titleICAC 2016
CountryUnited Kingdom
City Colchester
Period7/09/168/09/16
Internet address

Fingerprint

Hypersonic vehicles
Backstepping
Support vector machines
Nonlinear control systems
Personnel
Control systems
Controllers
Experiments

Keywords

  • near space hypersonic vehicle
  • least squares support vector machine;
  • inverse system control
  • fault-tolerant control
  • fault tolerance
  • backstepping
  • control systems
  • attitude control
  • mathematical model
  • nonlinear control systems

Cite this

Song, J., Lin, J., & Yang, E. (2016). A novel fault-tolerant control strategy for near space hypersonic vehicles via least squares support vector machine and backstepping method. 174-182. Paper presented at The 22nd International Conference on Automation and Computing, Colchester, United Kingdom. https://doi.org/10.1109/IConAC.2016.7604914
Song, Jia ; Lin, Jiaming ; Yang, Erfu. / A novel fault-tolerant control strategy for near space hypersonic vehicles via least squares support vector machine and backstepping method. Paper presented at The 22nd International Conference on Automation and Computing, Colchester, United Kingdom.9 p.
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abstract = "Near Space Hypersonic Vehicle (NSHV) could play significant roles in both military and civilian applications. It may cause huge losses of both personnel and property when a fatal fault occurs. It is therefore paramount to conduct fault-tolerant research for NSHV and avoid some catastrophic events. Toward this end, this paper presents a novel fault-tolerant control strategy by using the LSSVM (Least Squares Support Vector Machine)-based inverse system and Backstepping method. The control system takes advantage of the superiority of the LSSVM in solving the problems with small samples, high dimensions and local minima. The inverse system is built with an improved LSSVM. The adaptive controller is designed via the Backstepping which has the unique capability in dealing with nonlinear control systems. Finally, the experiment results demonstrate that the proposed method performs well.",
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author = "Jia Song and Jiaming Lin and Erfu Yang",
note = "{\circledC} 2016 IEEE. Personal use of this ma terial is permitted. Permission from IEEE must be obtained for al l other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, f or resale or redistribution to se rvers or lists, or reuse of any copyrighted compone nt of this work in other works; The 22nd International Conference on Automation and Computing, ICAC 2016 ; Conference date: 07-09-2016 Through 08-09-2016",
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Song, J, Lin, J & Yang, E 2016, 'A novel fault-tolerant control strategy for near space hypersonic vehicles via least squares support vector machine and backstepping method' Paper presented at The 22nd International Conference on Automation and Computing, Colchester, United Kingdom, 7/09/16 - 8/09/16, pp. 174-182. https://doi.org/10.1109/IConAC.2016.7604914

A novel fault-tolerant control strategy for near space hypersonic vehicles via least squares support vector machine and backstepping method. / Song, Jia; Lin, Jiaming; Yang, Erfu.

2016. 174-182 Paper presented at The 22nd International Conference on Automation and Computing, Colchester, United Kingdom.

Research output: Contribution to conferencePaper

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AU - Yang, Erfu

N1 - © 2016 IEEE. Personal use of this ma terial is permitted. Permission from IEEE must be obtained for al l other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, f or resale or redistribution to se rvers or lists, or reuse of any copyrighted compone nt of this work in other works

PY - 2016/10/24

Y1 - 2016/10/24

N2 - Near Space Hypersonic Vehicle (NSHV) could play significant roles in both military and civilian applications. It may cause huge losses of both personnel and property when a fatal fault occurs. It is therefore paramount to conduct fault-tolerant research for NSHV and avoid some catastrophic events. Toward this end, this paper presents a novel fault-tolerant control strategy by using the LSSVM (Least Squares Support Vector Machine)-based inverse system and Backstepping method. The control system takes advantage of the superiority of the LSSVM in solving the problems with small samples, high dimensions and local minima. The inverse system is built with an improved LSSVM. The adaptive controller is designed via the Backstepping which has the unique capability in dealing with nonlinear control systems. Finally, the experiment results demonstrate that the proposed method performs well.

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Song J, Lin J, Yang E. A novel fault-tolerant control strategy for near space hypersonic vehicles via least squares support vector machine and backstepping method. 2016. Paper presented at The 22nd International Conference on Automation and Computing, Colchester, United Kingdom. https://doi.org/10.1109/IConAC.2016.7604914